Erin P. Peterson
- Molecular Biology top 1%
- Cell death mechanisms and regulation 11
- RNA and protein synthesis mechanisms 3
- Immunology top 2%
- interferon and immune responses 2
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease 2
- Cancer Research top 5%
- Oncology top 5%
-
- Bioactive Compounds and Antitumor Agents 2
-
- Virus-based gene therapy research 2
-
- Computational Drug Discovery Methods 2
-
- Trace Elements in Health 2
- Co-authors
- Nancy A. ThornberryDonald W. NicholsonMargarita García‐CalvoDita RasperKevin T. ChapmanJohn P. VaillancourtSophie RoyThomas A. Rano
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (6 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Erin P. Peterson
22 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 4.6k
- Immunology 1.3k
- Cell Biology 649
- Cancer Research 580
- Oncology 870
Countries citing papers authored by Erin P. Peterson
This map shows the geographic impact of Erin P. Peterson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Erin P. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erin P. Peterson more than expected).
Fields of papers citing papers by Erin P. Peterson
This network shows the impact of papers produced by Erin P. Peterson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Erin P. Peterson. The network helps show where Erin P. Peterson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erin P. Peterson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 73 | |
| 2 | 2003 | 158 | |
| 3 | 2000 | 88 | |
| 4 | 2000 | 175 | |
| 5 | 1999 | 201 | |
| 6 | 1998 | 159 | |
| 7 | Inhibition of Human Caspases by Peptide-based and Macromolecular Inhibitorsbreakdown → | 1998 | 859 |
| 8 | 1998 | 271 | |
| 9 | 1998 | 363 | |
| 10 | A Combinatorial Approach Defines Specificities of Members of the Caspase Family and Granzyme Bbreakdown → | 1997 | 1802 |
| 11 | 1997 | 216 | |
| 12 | 1996 | 356 | |
| 13 | 1995 | 35 | |
| 14 | 1995 | 5 | |
| 15 | 1995 | 10 | |
| 16 | 1995 | 2 | |
| 17 | 1995 | 23 | |
| 18 | 1994 | 226 | |
| 19 | 1994 | 16 | |
| 20 | 1994 | 309 |
About Erin P. Peterson
Erin P. Peterson is a scholar working on Toxicology, Immunology and Molecular Biology, having authored 22 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (11 papers), RNA and protein synthesis mechanisms (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), interferon and immune responses (2 papers), Virus-based gene therapy research (2 papers), Computational Drug Discovery Methods (2 papers), Trace Elements in Health (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Immunology (1.3k citations) and Cell Biology (649 citations). Erin P. Peterson has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Nancy A. Thornberry, Donald W. Nicholson, Margarita García‐Calvo, Dita Rasper, Kevin T. Chapman, John P. Vaillancourt, Sophie Roy, Thomas A. Rano, Réjean Ruel and Barbara Leiting. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.